An ISCC-enabled Air-FEEL convergence bound is derived, and an alternating optimization algorithm for batch size and resource allocation is proposed to maximize per-round loss decrease.
To- ward ambient intelligence: Federated edge learning with task-oriented sensing, computation, and communication integration,
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Integrated Sensing, Communication, and Computation for Over-the-Air Federated Edge Learning
An ISCC-enabled Air-FEEL convergence bound is derived, and an alternating optimization algorithm for batch size and resource allocation is proposed to maximize per-round loss decrease.